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Artificial Neural Network based Indian Sign Language Recognition using hand crafted features

Research article (2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2020) · cited 26× · AI/ML
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Artificial Neural Network based Indian Sign Language Recognition using hand crafted features

Summary

Artificial Neural Network based Indian Sign Language Recognition using hand crafted features is a scholarly article[1].

Key Facts

  • Artificial Neural Network based Indian Sign Language Recognition using hand crafted features's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Artificial Neural Network based Indian Sign Language Recognition using hand crafted features. Retrieved May 24, 2026, from https://4ort.xyz/entity/artificial-neural-network-based-indian-sign-language-recognition-using-hand-crafted-features
MLA “Artificial Neural Network based Indian Sign Language Recognition using hand crafted features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/artificial-neural-network-based-indian-sign-language-recognition-using-hand-crafted-features.
BibTeX @misc{4ortxyz_artificial-neural-network-based-indian-sign-language-recognition-using-hand-crafted-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Artificial Neural Network based Indian Sign Language Recognition using hand crafted features}}, year = {2026}, url = {https://4ort.xyz/entity/artificial-neural-network-based-indian-sign-language-recognition-using-hand-crafted-features}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Artificial Neural Network based Indian Sign Language Recognition using hand crafted features — https://4ort.xyz/entity/artificial-neural-network-based-indian-sign-language-recognition-using-hand-crafted-features (retrieved 2026-05-24)

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